Datasets:
Upload dataset_info.json with huggingface_hub
Browse files- dataset_info.json +37 -0
dataset_info.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"description": "Unified industrial anomaly detection dataset formatted for Phi-3 fine-tuning. Combines industrial fault detection, IoT cybersecurity, and predictive maintenance data with natural language reasoning for edge AI deployment.",
|
| 3 |
+
"citation": "Derived from Kaggle Industrial Datasets (programmer3/industrial-fault-detection-dataset, mohamedamineferrag/edgeiiotset-cyber-security-dataset-of-iot-iiot, umerrtx/machine-failure-prediction-using-sensor-data), 2026.",
|
| 4 |
+
"homepage": "https://huggingface.co/datasets/your-username/Edge-Industrial-Anomaly-Phi3",
|
| 5 |
+
"license": "apache-2.0",
|
| 6 |
+
"features": {
|
| 7 |
+
"display_text": {
|
| 8 |
+
"dtype": "string",
|
| 9 |
+
"_type": "Value"
|
| 10 |
+
}
|
| 11 |
+
},
|
| 12 |
+
"splits": {
|
| 13 |
+
"train": {
|
| 14 |
+
"name": "train",
|
| 15 |
+
"num_bytes": 5242880,
|
| 16 |
+
"num_examples": 30000
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"download_size": 5242880,
|
| 20 |
+
"dataset_size": 5242880,
|
| 21 |
+
"configs": [
|
| 22 |
+
{
|
| 23 |
+
"config_name": "default",
|
| 24 |
+
"data_files": [
|
| 25 |
+
{
|
| 26 |
+
"split": "train",
|
| 27 |
+
"path": "*.jsonl"
|
| 28 |
+
}
|
| 29 |
+
]
|
| 30 |
+
}
|
| 31 |
+
],
|
| 32 |
+
"task_templates": [
|
| 33 |
+
{
|
| 34 |
+
"task": "text-generation"
|
| 35 |
+
}
|
| 36 |
+
]
|
| 37 |
+
}
|